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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1460
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    INDEX
    Explanations

    proper nouns or titles related to military or political figures

    oai_token-act-pair · gpt-3.5-turbo

    references to military figures and their titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ailability
    -0.83
    ĵĺ
    -0.82
    Downloadha
    -0.78
    ĸļ
    -0.77
    SourceFile
    -0.72
     intervals
    -0.71
    comings
    -0.71
    EStreamFrame
    -0.70
     heels
    -0.69
     teasp
    -0.68
    POSITIVE LOGITS
    krit
    0.71
     Atkins
    0.70
    EO
    0.69
    ural
    0.69
    APH
    0.68
    alogy
    0.68
    ————
    0.67
    abilia
    0.66
    ocide
    0.65
     Doomsday
    0.64
    Activations Density 0.088%

    No Known Activations